courseraАнализ данных

K-Means Clustering 101: World Happiness Report

Курс от Coursera

Начальный≈ 1.6 чАнглийский

О курсе

In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic production, social support, life expectancy, freedom, absence of corruption, and generosity. The World Happiness Report determines the state of global happiness. The happiness scores and rankings data has been collected by asking individuals to rank their life from 0 (worst possible life) to 10 (best possible life).

Навыки, которые вы освоите

Unsupervised Learning Social Determinants Of Health Python Programming Data Analysis Social Studies Applied Machine Learning Data Visualization Social Sciences Machine Learning Socioeconomics Statistical Machine Learning Data Mining Economics, Policy, and Social Studies Machine Learning Methods Plotly Scientific Visualization Machine Learning Algorithms

Программа курса

1 модулей · 4 учебных материалов

01 Clustering: World Happiness Report4 материалов

Clustering: World Happiness Report

Reading: Project-based Course OverviewЧтение K-Means Clustering 101: World HappinessЛабораторная Test Your UnderstandingЗадание

Учитесь у экспертов

Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)